Before applying
- You must be physically located in the American or European timezone.
- This is a long-term B2B engagement on an hourly basis, not a payroll job.
Role description
You will own the integration layer and full-stack product surfaces for an AI-powered sales intelligence platform that helps enterprise sales teams close more deals. You will work on pulling signals from the tools that sales representatives already use (Salesforce, Gong, Slack, email) into an AI layer that gives them the right sales-action signals at the right moment.
You will be responsible for connecting to the sales stacks our customers use, ingesting data at real-time scale, and ensuring nothing breaks when data gets messy. You will build native AI integrations, high-throughput pipelines, and full-stack product surfaces, applying your expertise to shape the architecture directly alongside the founders.
This position is in a pre-seed, fast-moving startup environment. You should be ready for ambiguity, rapid iteration, and assuming wider ownership, as you will be one of the first engineering hires building something reps say they would pay for tomorrow.
Responsibilities
- Build native integrations with Salesforce, HubSpot, Gong, Slack, Gmail/Outlook, and Google Drive.
- Develop high-throughput data ingestion and pipeline infrastructure with a focus on real-time processing, not batch.
- Own sync logic, webhooks, OAuth flows, and API rate-limit handling across third-party platforms.
- Build full-stack product surfaces, including onboarding flows, CRM sync UI, and admin configuration panels.
- Design scalable backend services that can handle enterprise data volumes from day one.
- Collaborate directly with product-obsessed founders to shape architecture from the ground up.
Main requirements
- Full-stack experience, with meaningful time spent on integration or platform work.
- Deep familiarity with at least one major CRM or GTM platform.
- Backend experience with TypeScript/Node.js or Python.
- Strong backend fundamentals: REST/GraphQL APIs, webhooks, async processing, and data modeling.
- Frontend experience with React.
- Experience building scalable services that will be robust under a high load.
- Fast self-learner who can ship fast with AI tools.
- Startup mentality: you ship, you own, you don’t wait for a spec.
Other requirements
- Advanced English.
Nice to have
- Experience with Salesforce, Gong, Outreach, or similar sales tooling APIs.
- Familiarity with event-driven architectures (Kafka, Pub/Sub, or similar).
